Arras W vs Montpellier W: result 1-3 and analysis
Feminine Division 1Feminine Division 1 - Round 11Kick-off on December 8, 2013 at 01:30 PM (UTC)
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What was the result of Arras W vs Montpellier W?
Montpellier W won 1-3 on December 8, 2013.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Arras W have 3 wins, 1 draw and 6 defeats; Montpellier W have 7, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2013 | Soyaux W(away) | 0-5 | Feminine Division 1 |
| Nov 17, 2013 | Yzeure Allier W(home) | 2-0 | Feminine Division 1 |
| Nov 1, 2013 | Rodez W(away) | 2-1 | Feminine Division 1 |
| Oct 19, 2013 | AS Saint-Etienne W(home) | 1-0 | Feminine Division 1 |
| Oct 13, 2013 | Paris Saint Germain W(away) | 0-3 | Feminine Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2013 | Lyon W(home) | 1-4 | Feminine Division 1 |
| Nov 17, 2013 | Muret W(away) | 6-0 | Feminine Division 1 |
| Nov 10, 2013 | AS Saint-Etienne W(home) | 3-1 | Feminine Division 1 |
| Nov 3, 2013 | Juvisy Sur Orge W(home) | 1-2 | Feminine Division 1 |
| Oct 20, 2013 | Henin-Beaumont W(away) | 3-0 | Feminine Division 1 |
How many goals should we expect?
Arras W score 1.1 and concede 2.0 goals per match over their last 10; Montpellier W score 3.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arras W | 1.1 | 2.0 | 2 | 4/10 | 6/10 |
| Montpellier W | 3.0 | 0.9 | 6 | 4/10 | 8/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Montpellier W | 5 | 1 | 3 | 1 | 7 | 4 | 6 |
A question about Arras W vs Montpellier W?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy